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Apr 21, 2018 · As most of us know, Alibaba is the largest e-commerce platform globally. Surprisingly, it also runs some of the largest Apache Spark jobs in the world!
- Level Up Education
Jan 1, 2024 · Apache Spark has emerged as a pivotal tool in big data analytics, revolutionizing the way businesses handle and process vast datasets. Its importance lies in its ability to provide fast, reliable, and scalable data processing, making it a cornerstone in the world of big data.
Nov 12, 2020 · Amazon Retail systems uses Apache Spark with Deep Java Library (DJL) to build propensity models to drive customer experience.
Jun 17, 2016 · Big Data technologies powered by Apache Spark and Machine Learning capabilities can help retailers meet high customer expectations in this modern digital world.
- What Is Apache Spark? An Introduction
- Spark CORE
- SparkSQL
- Spark Streaming
- MLlib
- Graphx
- How to Use Apache Spark: Event Detection Use Case
- Other Apache Spark Use Cases
- Conclusion
Sparkis an Apache project advertised as “lightning fast cluster computing”. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides a faster and more general data processing platform. Spark lets you run programs up to 100x faster in memory, or 10x faster on disk, than Hadoop. Last year, Spark took...
Spark Coreis the base engine for large-scale parallel and distributed data processing. It is responsible for: 1. memory management and fault recovery 2. scheduling, distributing and monitoring jobs on a cluster 3. interacting with storage systems Spark introduces the concept of an RDD (Resilient Distributed Dataset), an immutable fault-tolerant, di...
SparkSQL is a Spark component that supports querying data either via SQL or via the Hive Query Language. It originated as the Apache Hive port to run on top of Spark (in place of MapReduce) and is now integrated with the Spark stack. In addition to providing support for various data sources, it makes it possible to weave SQL queries with code trans...
Spark Streamingsupports real time processing of streaming data, such as production web server log files (e.g. Apache Flume and HDFS/S3), social media like Twitter, and various messaging queues like Kafka. Under the hood, Spark Streaming receives the input data streams and divides the data into batches. Next, they get processed by the Spark engine a...
MLlib is a machine learning library that provides various algorithms designed to scale out on a cluster for classification, regression, clustering, collaborative filtering, and so on (check out Toptal’s article on machine learning for more information on that topic). Some of these algorithms also work with streaming data, such as linear regression ...
GraphXis a library for manipulating graphs and performing graph-parallel operations. It provides a uniform tool for ETL, exploratory analysis and iterative graph computations. Apart from built-in operations for graph manipulation, it provides a library of common graph algorithms such as PageRank.
Now that we have answered the question “What is Apache Spark?”, let’s think of what kind of problems or challenges it could be used for most effectively. I came across an article recently about an experiment to detect an earthquake by analyzing a Twitter stream. Interestingly, it was shown that this technique was likely to inform you of an earthqua...
Potential use cases for Spark extend far beyond detection of earthquakes of course. Here’s a quick (but certainly nowhere near exhaustive!) sampling of other use cases that require dealing with the velocity, variety and volume of Big Data, for which Spark is so well suited: In the game industry, processing and discovering patterns from the potentia...
To sum up, Spark helps to simplify the challenging and computationally intensive task of processing high volumes of real-time or archived data, both structured and unstructured, seamlessly integrating relevant complex capabilities such as machine learning and graph algorithms. Spark brings Big Data processing to the masses. Check it out!
- Radek Ostrowski
Oct 15, 2015 · Web-based companies like Chinese search engine Baidu, e-commerce operation Alibaba Taobao, and social networking company Tencent all run Spark-based operations at scale, with Tencent’s...
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Oct 23, 2024 · Table of Contents. Apache Spark was developed by a team at UC Berkeley in 2009. Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. The demand has been ever increasing day by day.
